| IBM infosphere streams for scalable, real-time, intelligent transportation services A Biem, E Bouillet, H Feng, A Ranganathan, A Riabov, O Verscheure, ... Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 281 | 2010 |
| Elastic scaling of data parallel operators in stream processing S Schneider, H Andrade, B Gedik, A Biem, KL Wu 2009 IEEE international symposium on parallel & distributed processing, 1-12, 2009 | 201 | 2009 |
| An application of discriminative feature extraction to filter-bank-based speech recognition A Biem, S Katagiri, E McDermott, BH Juang IEEE Transactions on Speech and Audio Processing 9 (2), 96-110, 2001 | 118 | 2001 |
| Minimum classification error training for online handwriting recognition A Biem IEEE transactions on pattern analysis and machine intelligence 28 (7), 1041-1051, 2006 | 99 | 2006 |
| A model selection criterion for classification: Application to HMM topology optimization A Biem Seventh International Conference on Document Analysis and Recognition, 2003 …, 2003 | 88 | 2003 |
| Semisupervised least squares support vector machine MM Adankon, M Cheriet, A Biem IEEE Transactions on Neural Networks 20 (12), 1858-1870, 2009 | 87 | 2009 |
| Feature extraction based on minimum classification error/generalized probabilistic descent method A Biem, S Katagiri 1993 IEEE International Conference on Acoustics, Speech, and Signal …, 1993 | 84 | 1993 |
| A value network model for strategic analysis A Biem, N Caswell Proceedings of the 41st annual Hawaii international conference on system …, 2008 | 82 | 2008 |
| Pattern recognition using discriminative feature extraction A Biem, S Katagiri, BH Juang IEEE Transactions on Signal Processing 45 (2), 500-504, 1997 | 80 | 1997 |
| Detecting road traffic events by coupling multiple timeseries with a nonparametric bayesian method S Yang, K Kalpakis, A Biem IEEE Transactions on Intelligent Transportation Systems 15 (5), 1936-1946, 2014 | 59 | 2014 |
| Semisupervised learning using Bayesian interpretation: Application to LS-SVM MM Adankon, M Cheriet, A Biem IEEE transactions on neural networks 22 (4), 513-524, 2011 | 53 | 2011 |
| Filter bank design based on discriminative feature extraction A Biem, S Katagiri Proceedings of ICASSP'94. IEEE International Conference on Acoustics, Speech …, 1994 | 51 | 1994 |
| HMM topology optimization for handwriting recognition D Li, A Biem, J Subrahmonia 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 48 | 2001 |
| Detecting anomalies in real-time in multiple time series data with automated thresholding AE Biem US Patent 8,924,333, 2014 | 42 | 2014 |
| Real-Time Traffic Information Management using Stream Computing. A Biem, E Bouillet, H Feng, A Ranganathan, A Riabov, O Verscheure, ... IEEE Data Eng. Bull. 33 (2), 64-68, 2010 | 39 | 2010 |
| Discriminative feature extraction for speech recognition A Biem, S Katagiri, BH Juang Neural Networks for Signal Processing III-Proceedings of the 1993 IEEE-SP …, 1993 | 39 | 1993 |
| A discriminative filter bank model for speech recognition. A Biem, E McDermott, S Katagiri Eurospeech, 545-548, 1995 | 32 | 1995 |
| Cepstrum-based filter-bank design using discriminative feature extraction training at various levels A Biem, S Katagiri 1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997 | 31 | 1997 |
| Maximization of mutual information for offline Thai handwriting recognition R Nopsuwanchai, A Biem, WF Clocksin IEEE transactions on pattern analysis and machine intelligence 28 (8), 1347-1351, 2006 | 30 | 2006 |
| Discriminative feature extraction S Katagiri Artificial neural networks for speech and vision, 278-293, 1994 | 30 | 1994 |
